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The Effect of Risk Perceptions on the Intention to Online Grocery Shopping with Extended Technology Acceptance Model Components

Year 2020, Volume: 18 Issue: 2, 305 - 326, 24.06.2020
https://doi.org/10.18026/cbayarsos.685067

Abstract

E-retail applications have been rapidly adopted with the widespread use of internet and mobile technologies. However, the rates for the adoption and the use of shopping from online grocery markets, where fast-moving consumer goods are increasing much more slowly. It is important to examine the factors affecting the acceptance of these channels and risk perceptions in order to increase the rates of shopping from online grocery markets and to provide data to the emerging market structure. The conceptual framework of the study carried out for this purpose is based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). In the study conducted by applying a survey to 402 individuals, it was found that facilitating conditions, habits, performance expectancy and time risk had a positive whereas psychological risk negative impact on the intention of shopping from online grocery markets.

References

  • Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., ve Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138.
  • Almousa, M. (2014). The influence of risk perception in online purchasing behavior: Examination of an early-stage online market. International Review of Management and Business Research, 3(2), 779-787.
  • An, L., Tong, L. ve Han,Y. (2016). Study on the factors of online shopping ıntention for fresh agricultural products based on UTAUT2. 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016), 303-306.
  • Argo, J. J., Dahl, D. W. ve Morales, A.C. (2006). Consumer contamination: How consumers react to products touched by others. Journal of Marketing, 70(2), 81-84. Bambauer-Sachse, S. ve Mangold, S. (2011). Brand equity dilution through negative online word-ofmouth communication. Journal of Retailing and Consumer Services, 18, 38–45.
  • Bauerová, R. ve Klepek, M. (2018). Technology acceptance as a determinant of online grocery shopping adoption. Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 66 (3), 737-746.
  • Benbasat, I. ve Barki, H. (2007). Quo vadis TAM?. Journal of Association of Information Systems, 8(4), 211-218.
  • Berg, J., ve Henriksson, M. (2020). In search of the “good life”: Understanding online grocery shopping and everyday mobility as social practices. Journal of Transport Geography, 83.
  • Candan, B. ve Kurtuluş, K. (2003). İnternet kullanıcılarının gıda, temizlik ve kişisel bakım ürünlerinde sanal alış-veriş yapma nedenlerini belirlemeye yönelik pilot bir araştırma. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17 (1-2), 307-321.
  • Chen, ChauShen (2013). Perceived risk, usage frequency of mobile banking services. Journal of Service Theory and Practice, 23(5).
  • Chernev A (2003). When more is less and less is more: the role of ideal point availability and assortment in consumer choice. Journal of Consumer Research, 30(2), 170–183.
  • Chu, J., Arca-Urze, M. ve Cebollada-Calvo, J. (2010). An empirical analysis of shopping behaviour across online and offline channels for grocery products: The moderating effects of house hold and product characteristics. Journal of Interactive Marketing, 24 (4), 251-268.
  • Citrin, A. V., Stem, D. E, Spangenberg, E. R. ve Clark M. J. (2003). Consumer need for tactile ınput: an ınternet retailing challenge. Journal of Business Research, 56 (11), 915–922.
  • Davis, F. D., Bagozzi, R. P. ve Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982–1003.
  • Doherty, N. F. ve Ellis-Chadwick, F. (2009). Exploring the drivers, scope and perceived success of e-commerce strategies in the uk retail sector. European Journal of Marketing, 43 (9), 1246–1262.
  • Dowling, G.R. ve Staelin, R. (1994). A model of perceived risk and intended risk-handling activity, Journal of Consumer Research, 21, 119-134.
  • Driediger, F. ve Bhatiasevi, V. (2019). Online grocery shopping in thailand: consumer acceptance and usage behavior. Journal of Retailing and Consumer Services, 48, 224-237.
  • Droogenbroeck, V. E. ve Hove, V. L. (2017). Adoption of online grocery shopping: personal or household characteristics?. Journal of Internet Commerce, 16(3), 255–286.
  • Escobar-Rodríguez, T .ve Carvajal Trujillo, E. (2013). Online drivers of consumer purchase of web site airline tickets”, Journal of Air Transport Management, 32, 58-64.
  • Espegren, Y., Carling, K. ve Olsmants, C. (2018). Smart online grocery delivery and peri-urban consumers’ attitudes, Dalarna University.
  • European Commission (2015). Methodological manual for statistics on the information society. https://circabc.europa.eu/faces/jsp/extension/wai/navigation/container.jsp.
  • Ferreira, M. P. (2009). (R)evolution of e-grocery ındustry: strategic ımplications. Universidade Católica Portuguesa (Porto).
  • Gefen, D. ve Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. The International Journal of Management Science, 32: 407-424.
  • Gegez, E. (2015). Pazarlama Araştırmaları. Beta Yayınları, İstanbul (Beşinci Baskı).
  • Gore, D. (2017). Everything you wanted to know about ındia’s largest online süper market bigbasket. com!”, http://techstory.in/bigbasket.
  • Gupta, S., Dogra, N. ve George, B. (2018). What determines tourist adoption of smartphone apps?: An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9 (1), 50-64.
  • Gupta, S. ve Kim, H. (2010). Value-driven internet shopping: the mental accounting theory perspective. Psychology and Marketing, 27 (1), 13-35.
  • Güsken, S. R., Janssen, D., Hees, F., (2019). Online grocery platforms - understanding consumer acceptance. Conference Proceedings of the ISPIM Connects Ottawa.
  • Ha, H. (2002). The effects of consumer risk perception on pre-purchase ınformation in online auctions: brand, word-of-mouth, and customized ınformation. Journal of Computer-Mediated Communication, 8 (1).
  • Hassan, A. M., Kunz, M. B., Pearson, A.W. ve Mohamed, F.A. (2006). Conceptualization and measurement of perceived risk in online shopping. The Marketing Management Journal, 16(1), 138-147.
  • Horton, R. L. (1976). The structure of perceived risk: Some further progress. Journal of the Academy of Marketing Science, 4, 694-706.
  • Huang, Y., ve Oppewal, H. (2006). Why consumers hesitate to shop online: an experimental choice analysis of grocery shopping and the role of delivery fees. International Journal of Retail & Distribution Management. 34 (4–5), 334–353.
  • Hwang, J., Yoon, Y. ve Park, N. (2011). Structural effects of cognitive and affective responses to web advertisements, website and brand attitudes, and purchase ıntentions: the case of casual-dining restaurants. International Journal of Hospitality Management, 30(4), 897-907.
  • Ilmudeen, A. (2018). Consumers' perceived security risks in online shopping: a survey study in Sri Lanka. Jaffna:Faculty of Management Studies & Commerce.
  • İşçioğlu, T. E. (2017). Sanal market alışverişi niyetinin sürekliliğini etkileyen unsurlar ve bir model önerisi, Pazarlama ve Pazarlama Araştırmaları Dergisi, 21, 99-124.
  • Jacoby, J. ve Kaplan, L.B. (1972). The components of perceived risk. Annual Conference of the Association for Consumer Research. 382-393.
  • Kaur, M. (2018). Customer relationship management in online grocery stores. Journal of Business & Financial Affairs, 7(2).
  • Kian, T. P., Loong, C. W. ve Fong, S. W. L. (2019). Customer purchase ıntention on online grocery shopping. International Journal of Academic Research in Business and Social Sciences, 8(12), 1579–1595.
  • Kim, S. S., ve Malhotra, N. K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51, 741–755.
  • Kinjo, K. ve Ebina, T. (2014). Paradox of choice and consumer nonpurchase behavior. AI & Society, 30(2), 291–297.
  • Kureshi, S. ve Thomas, S. (2019). Online grocery retailing – exploring local grocers beliefs, International Journal of Retail & Distribution Management, 47 (2), 157-185.
  • Li, H., Sarathy, R. ve Xu,H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support System, 51(3), 434-445.
  • Lim, H., R. Widdows ve Hooker, N. H. (2009). Web content analysis of e-grocery retailers: a longitudinal study. International Journal of Retail & Distribution Management, 37 (10), 839–851.
  • Limayem, M., Hirt, S. G., ve Cheung, C. M. K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705–737.
  • Loketkrawee, P. ve Bhatiasevi, V. (2018). Elucidating the behavior of consumers toward online grocery shopping: the role of shopping orientation. Journal of Internet Commerce, 17(4), 418-445.
  • Martinez, O., Tagliaferro, B., Rodriguez, N., Athens, J., Abrams, C. ve Elbel, B. (2018). Ebt payment for online grocery orders: a mixed-methods study to understand its uptake among snap recipients and the barriers to and motivators for its use. Journal of Nutrition Education and Behavior, 50(4), 396–402.
  • Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.
  • McCorkle, D.E. (1990). The role of perceived risk in mail order catalog shopping. Journal of Direct Marketing, 4, 26-35.
  • Mortimer,G., Fazal, Hasan, S., Andrews, L. ve Martin, J. (2016). Online grocery shopping: the impact of shopping frequency on perceived risk, The International Review of Retail, Distribution and Consumer Research, 26(2).
  • Negahban, A. ve Chung, C. H. (2014). Discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75-84.
  • Nielsen, Nielsen 2019 E-ticaret Raporu, https://www.optimisthub.com/nielsen-2019-e-ticaret-raporu.html
  • Park, E. J., Kim, E.Y., Funches, V.M. ve Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65 (11), 1583-1589.
  • Paulo, M., Paulo, R., Tiago, O. ve Sérgio, M. (2018) Understanding mobile augmented reality adoption in a consumer context, Journal of Hospitality and Tourism Technology, 9 (2), 142-157.
  • Picot-Coupey, K., Huré, E., Cliquet, G., ve Petr, C. (2009). Grocery shopping and the internet. The International Review of Retail, Distribution and Consumer Research (4): 437–455.
  • Rogus, S., Guthrie, J. F., Niculescu, M., ve Mancino, L. (2019). Online grocery shopping knowledge, attitudes, and behaviors among snap participants. Journal of Nutrition Education and Behavior.
  • Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of Marketing, 35, 56-61.
  • Seitz, C., Pokrivcak, J., Toth, M. ve Plevny, M. (2017). Online grocery retailing in germany: an explorative analysis. Journal of Business Economics and Management, 18(6), 1243-1263.
  • Shah A.M. ve Wolford G. (2007). Buying behavior as a function of parametric variation of number of choices. Psychological Science, 18(5), 369–370.
  • Shaw, N. ve Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. Journal of International Management, 45, 44–55.
  • Singh, M. ve Matsui, Y. (2017). How long tail and trust affect online shopping behavior: an extension to utaut2 framework. Pacific Asia Journal of the Association for Information Systems, 9(4), 1-24.
  • Singh, R., ve Rosengren, S. (2020). Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services, 53.
  • Sreeram, A., Kesharwani, A. ve Desai, S. (2017). Factors affecting satisfaction and loyalty in online grocery shopping: an integrated model, Journal of Indian Business Research, 9 (2), 107-132.
  • Sreya, R. ve Raveendran, P.T. (2016). Dımensıons of perceıved rısk ın onlıne shoppıng - a factor analysıs approach, BVIMSR’s Journal of Management Research, 8 (1), 13- 18.
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Sanal Market Alışverişi Yapma Niyetinde Genişletilmiş Teknoloji Kabul Modeli Bileşenleri ile Risk Algılarının Etkisi

Year 2020, Volume: 18 Issue: 2, 305 - 326, 24.06.2020
https://doi.org/10.18026/cbayarsos.685067

Abstract

İnternet ve mobil teknolojilerin kullanımının yaygınlaşması ile e-perakende uygulamaları hızla benimsenmiştir. Fakat hızlı tüketim ürünlerinin satışa sunulduğu sanal market alışverişlerinin benimsenme ve kullanım oranları çok daha yavaş artış göstermektedir. Sanal market alışverişinin kullanım oranlarının artırılması ve gelişmekte olan pazar yapısına veri sağlanabilmesi için, bu kanalların kabulünü etkileyen faktörler ile risk algılarının incelenmesi önemlidir. Bu amaç doğrultusunda gerçekleştirilen çalışmanın kavramsal çerçevesi Genişletilmiş Teknoloji Kabul Modeli 2 (UTAUT2) ’ye dayanmaktadır. 402 kişiye anket uygulanarak gerçekleştirilen araştırmada kolaylaştırıcı unsuların, alışkanlığın, performans beklentisinin ve zaman riskinin pozitif; psikolojik riskin ise negatif yönlü etkisinin olduğu tespit edilmiştir.

References

  • Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., ve Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138.
  • Almousa, M. (2014). The influence of risk perception in online purchasing behavior: Examination of an early-stage online market. International Review of Management and Business Research, 3(2), 779-787.
  • An, L., Tong, L. ve Han,Y. (2016). Study on the factors of online shopping ıntention for fresh agricultural products based on UTAUT2. 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016), 303-306.
  • Argo, J. J., Dahl, D. W. ve Morales, A.C. (2006). Consumer contamination: How consumers react to products touched by others. Journal of Marketing, 70(2), 81-84. Bambauer-Sachse, S. ve Mangold, S. (2011). Brand equity dilution through negative online word-ofmouth communication. Journal of Retailing and Consumer Services, 18, 38–45.
  • Bauerová, R. ve Klepek, M. (2018). Technology acceptance as a determinant of online grocery shopping adoption. Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 66 (3), 737-746.
  • Benbasat, I. ve Barki, H. (2007). Quo vadis TAM?. Journal of Association of Information Systems, 8(4), 211-218.
  • Berg, J., ve Henriksson, M. (2020). In search of the “good life”: Understanding online grocery shopping and everyday mobility as social practices. Journal of Transport Geography, 83.
  • Candan, B. ve Kurtuluş, K. (2003). İnternet kullanıcılarının gıda, temizlik ve kişisel bakım ürünlerinde sanal alış-veriş yapma nedenlerini belirlemeye yönelik pilot bir araştırma. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17 (1-2), 307-321.
  • Chen, ChauShen (2013). Perceived risk, usage frequency of mobile banking services. Journal of Service Theory and Practice, 23(5).
  • Chernev A (2003). When more is less and less is more: the role of ideal point availability and assortment in consumer choice. Journal of Consumer Research, 30(2), 170–183.
  • Chu, J., Arca-Urze, M. ve Cebollada-Calvo, J. (2010). An empirical analysis of shopping behaviour across online and offline channels for grocery products: The moderating effects of house hold and product characteristics. Journal of Interactive Marketing, 24 (4), 251-268.
  • Citrin, A. V., Stem, D. E, Spangenberg, E. R. ve Clark M. J. (2003). Consumer need for tactile ınput: an ınternet retailing challenge. Journal of Business Research, 56 (11), 915–922.
  • Davis, F. D., Bagozzi, R. P. ve Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982–1003.
  • Doherty, N. F. ve Ellis-Chadwick, F. (2009). Exploring the drivers, scope and perceived success of e-commerce strategies in the uk retail sector. European Journal of Marketing, 43 (9), 1246–1262.
  • Dowling, G.R. ve Staelin, R. (1994). A model of perceived risk and intended risk-handling activity, Journal of Consumer Research, 21, 119-134.
  • Driediger, F. ve Bhatiasevi, V. (2019). Online grocery shopping in thailand: consumer acceptance and usage behavior. Journal of Retailing and Consumer Services, 48, 224-237.
  • Droogenbroeck, V. E. ve Hove, V. L. (2017). Adoption of online grocery shopping: personal or household characteristics?. Journal of Internet Commerce, 16(3), 255–286.
  • Escobar-Rodríguez, T .ve Carvajal Trujillo, E. (2013). Online drivers of consumer purchase of web site airline tickets”, Journal of Air Transport Management, 32, 58-64.
  • Espegren, Y., Carling, K. ve Olsmants, C. (2018). Smart online grocery delivery and peri-urban consumers’ attitudes, Dalarna University.
  • European Commission (2015). Methodological manual for statistics on the information society. https://circabc.europa.eu/faces/jsp/extension/wai/navigation/container.jsp.
  • Ferreira, M. P. (2009). (R)evolution of e-grocery ındustry: strategic ımplications. Universidade Católica Portuguesa (Porto).
  • Gefen, D. ve Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. The International Journal of Management Science, 32: 407-424.
  • Gegez, E. (2015). Pazarlama Araştırmaları. Beta Yayınları, İstanbul (Beşinci Baskı).
  • Gore, D. (2017). Everything you wanted to know about ındia’s largest online süper market bigbasket. com!”, http://techstory.in/bigbasket.
  • Gupta, S., Dogra, N. ve George, B. (2018). What determines tourist adoption of smartphone apps?: An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9 (1), 50-64.
  • Gupta, S. ve Kim, H. (2010). Value-driven internet shopping: the mental accounting theory perspective. Psychology and Marketing, 27 (1), 13-35.
  • Güsken, S. R., Janssen, D., Hees, F., (2019). Online grocery platforms - understanding consumer acceptance. Conference Proceedings of the ISPIM Connects Ottawa.
  • Ha, H. (2002). The effects of consumer risk perception on pre-purchase ınformation in online auctions: brand, word-of-mouth, and customized ınformation. Journal of Computer-Mediated Communication, 8 (1).
  • Hassan, A. M., Kunz, M. B., Pearson, A.W. ve Mohamed, F.A. (2006). Conceptualization and measurement of perceived risk in online shopping. The Marketing Management Journal, 16(1), 138-147.
  • Horton, R. L. (1976). The structure of perceived risk: Some further progress. Journal of the Academy of Marketing Science, 4, 694-706.
  • Huang, Y., ve Oppewal, H. (2006). Why consumers hesitate to shop online: an experimental choice analysis of grocery shopping and the role of delivery fees. International Journal of Retail & Distribution Management. 34 (4–5), 334–353.
  • Hwang, J., Yoon, Y. ve Park, N. (2011). Structural effects of cognitive and affective responses to web advertisements, website and brand attitudes, and purchase ıntentions: the case of casual-dining restaurants. International Journal of Hospitality Management, 30(4), 897-907.
  • Ilmudeen, A. (2018). Consumers' perceived security risks in online shopping: a survey study in Sri Lanka. Jaffna:Faculty of Management Studies & Commerce.
  • İşçioğlu, T. E. (2017). Sanal market alışverişi niyetinin sürekliliğini etkileyen unsurlar ve bir model önerisi, Pazarlama ve Pazarlama Araştırmaları Dergisi, 21, 99-124.
  • Jacoby, J. ve Kaplan, L.B. (1972). The components of perceived risk. Annual Conference of the Association for Consumer Research. 382-393.
  • Kaur, M. (2018). Customer relationship management in online grocery stores. Journal of Business & Financial Affairs, 7(2).
  • Kian, T. P., Loong, C. W. ve Fong, S. W. L. (2019). Customer purchase ıntention on online grocery shopping. International Journal of Academic Research in Business and Social Sciences, 8(12), 1579–1595.
  • Kim, S. S., ve Malhotra, N. K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51, 741–755.
  • Kinjo, K. ve Ebina, T. (2014). Paradox of choice and consumer nonpurchase behavior. AI & Society, 30(2), 291–297.
  • Kureshi, S. ve Thomas, S. (2019). Online grocery retailing – exploring local grocers beliefs, International Journal of Retail & Distribution Management, 47 (2), 157-185.
  • Li, H., Sarathy, R. ve Xu,H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support System, 51(3), 434-445.
  • Lim, H., R. Widdows ve Hooker, N. H. (2009). Web content analysis of e-grocery retailers: a longitudinal study. International Journal of Retail & Distribution Management, 37 (10), 839–851.
  • Limayem, M., Hirt, S. G., ve Cheung, C. M. K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705–737.
  • Loketkrawee, P. ve Bhatiasevi, V. (2018). Elucidating the behavior of consumers toward online grocery shopping: the role of shopping orientation. Journal of Internet Commerce, 17(4), 418-445.
  • Martinez, O., Tagliaferro, B., Rodriguez, N., Athens, J., Abrams, C. ve Elbel, B. (2018). Ebt payment for online grocery orders: a mixed-methods study to understand its uptake among snap recipients and the barriers to and motivators for its use. Journal of Nutrition Education and Behavior, 50(4), 396–402.
  • Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.
  • McCorkle, D.E. (1990). The role of perceived risk in mail order catalog shopping. Journal of Direct Marketing, 4, 26-35.
  • Mortimer,G., Fazal, Hasan, S., Andrews, L. ve Martin, J. (2016). Online grocery shopping: the impact of shopping frequency on perceived risk, The International Review of Retail, Distribution and Consumer Research, 26(2).
  • Negahban, A. ve Chung, C. H. (2014). Discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75-84.
  • Nielsen, Nielsen 2019 E-ticaret Raporu, https://www.optimisthub.com/nielsen-2019-e-ticaret-raporu.html
  • Park, E. J., Kim, E.Y., Funches, V.M. ve Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65 (11), 1583-1589.
  • Paulo, M., Paulo, R., Tiago, O. ve Sérgio, M. (2018) Understanding mobile augmented reality adoption in a consumer context, Journal of Hospitality and Tourism Technology, 9 (2), 142-157.
  • Picot-Coupey, K., Huré, E., Cliquet, G., ve Petr, C. (2009). Grocery shopping and the internet. The International Review of Retail, Distribution and Consumer Research (4): 437–455.
  • Rogus, S., Guthrie, J. F., Niculescu, M., ve Mancino, L. (2019). Online grocery shopping knowledge, attitudes, and behaviors among snap participants. Journal of Nutrition Education and Behavior.
  • Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of Marketing, 35, 56-61.
  • Seitz, C., Pokrivcak, J., Toth, M. ve Plevny, M. (2017). Online grocery retailing in germany: an explorative analysis. Journal of Business Economics and Management, 18(6), 1243-1263.
  • Shah A.M. ve Wolford G. (2007). Buying behavior as a function of parametric variation of number of choices. Psychological Science, 18(5), 369–370.
  • Shaw, N. ve Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. Journal of International Management, 45, 44–55.
  • Singh, M. ve Matsui, Y. (2017). How long tail and trust affect online shopping behavior: an extension to utaut2 framework. Pacific Asia Journal of the Association for Information Systems, 9(4), 1-24.
  • Singh, R., ve Rosengren, S. (2020). Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services, 53.
  • Sreeram, A., Kesharwani, A. ve Desai, S. (2017). Factors affecting satisfaction and loyalty in online grocery shopping: an integrated model, Journal of Indian Business Research, 9 (2), 107-132.
  • Sreya, R. ve Raveendran, P.T. (2016). Dımensıons of perceıved rısk ın onlıne shoppıng - a factor analysıs approach, BVIMSR’s Journal of Management Research, 8 (1), 13- 18.
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There are 75 citations in total.

Details

Primary Language Turkish
Journal Section İktisadi ve idari Bilimler Sayısı
Authors

İrem Çakır 0000-0001-6572-7348

İpek Kazançoğlu 0000-0001-8251-5451

Publication Date June 24, 2020
Published in Issue Year 2020 Volume: 18 Issue: 2

Cite

APA Çakır, İ., & Kazançoğlu, İ. (2020). Sanal Market Alışverişi Yapma Niyetinde Genişletilmiş Teknoloji Kabul Modeli Bileşenleri ile Risk Algılarının Etkisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(2), 305-326. https://doi.org/10.18026/cbayarsos.685067